Senior Data Analyst (m/f/d) - Shop Analytics - onsite in Hamburg Job Description Join our Shop Analytics Team within the Customer & Shop Intelligence cluster and directly impact millions of fashion shoppers' experiences. You'll analyze complex e-commerce data to drive product decisions, optimize conversion funnels, and power personalization features that keep users engaged. Working closely with Product Owners and cross-functional teams, you'll provide full-cycle A/B test analytical support, create tracking concepts, and translate user behavior and shop performance insights into actionable business recommendations. What you will do • Conduct in-depth analyses on shop user behavior to uncover actionable insights • Drive shop optimization and growth by providing analytical insights to Business and Product Owners and influencing product enhancements • Shape the success metrics for our shop, developing and monitoring KPIs that directly impact millions of users' shopping experiences • Provide full-cycle A/B test analytical support to optimize shop performance • Define tracking requirements and support QA of tracking implementations to ensure data accuracy and reliability • Design and implement advanced dashboards, enabling self-service analytics across the organization • Collaborate with multiple stakeholders across the organization to answer shop-related questions with analytical insights, supporting business decision-making Who you are • Advanced proficiency in SQL for complex data analysis and querying large datasets • Expertise in e-commerce KPIs and funnel analysis • Solid understanding of web analytics and experience working with frontend tracking data (GA4 experience is a plus) • Experience with data visualization tools (e.g., Looker Studio, Tableau, or similar) to create compelling dashboards and reports • Advanced knowledge of A/B testing methodology and statistical analysis for experiment design and interpretation • Strong understanding of customer segmentation and cohort analysis in the e-commerce context • Proactive and self-driven, with the ability to work independently and drive projects from conception to completion • Collaborative mindset, adept at working with cross-functional teams and building strong relationships with stakeholders • Pragmatic approach to problem-solving, consistently delivering efficient, data-driven solutions. • Attention to detail and commitment to data quality and accuracy • Excellent communication skills, enabling the translation of complex data analysis into clear, actionable insights for diverse stakeholders. Nice to have • Working knowledge of a programming language for data analysis (Python preferred) • Experience with big data technologies (e.g., Google BigQuery) • Familiarity with version control systems (e.g., Git)